code: def __init__(self):
      super().__init__()
      self.model = SimpleTorchModel()
  
imports: from __future__ import annotations
  import pytorch_lightning
  import torch
  import torch.nn.functional
  from torch.optim.lr_scheduler import ExponentialLR
  from torch.utils.data import random_split, DataLoader
  from torchmetrics.functional import accuracy
  from torchvision.datasets import MNIST
  from torchvision import transforms
  import nni
  from .simple_torch_model import SimpleTorchModel
label_desc: Use image node_id 1 to create a new SimpleLightningModel object from inherited base classes: pl with example: obj = SimpleLightningModel()